Datasets:
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license: apache-2.0
task_categories:
- text-generation
language:
- en
tags:
- conversational-search
- query-rewriting
- cqr
---
# Conversational Query Rewriting (CQR) Dataset
Unified dataset for training CQR models. Combines human-annotated rewrites from QReCC, CANARD, and Redis examples.
## Schema
| Field | Type | Description |
|-------|------|-------------|
| `context` | `list[str]` | Previous conversation turns |
| `question` | `str` | Context-dependent question |
| `rewrite` | `str` | Self-contained rewrite |
| `dataset` | `str` | Source dataset |
| `split` | `str` | Original split |
| `index` | `int` | Original index |
## Splits
| Split | Count |
|-------|-------|
| train | 83702 |
| validation | 2196 |
| test | 19824 |
## Sources
**QReCC** ([apple/ml-qrecc](https://github.com/apple/ml-qrecc)) - Apache 2.0
```bibtex
@inproceedings{anantha-etal-2021-qrecc,
title = "Open-Domain Question Answering Goes Conversational via Question Rewriting",
author = "Anantha, Raviteja and Vakulenko, Svitlana and Tu, Zhucheng and Longpre, Shayne and Pulman, Stephen and Chappidi, Srinivas",
booktitle = "NAACL",
year = "2021",
url = "https://aclanthology.org/2021.naacl-main.44",
}
```
**CANARD** ([uva-irlab/canard_quretec](https://huggingface.co/datasets/uva-irlab/canard_quretec)) - CC BY-SA 4.0
```bibtex
@inproceedings{elgohary-etal-2019-canard,
title = "Can You Unpack That? Learning to Rewrite Questions-in-Context",
author = "Elgohary, Ahmed and Peskov, Denis and Boyd-Graber, Jordan",
booktitle = "EMNLP-IJCNLP",
year = "2019",
url = "https://aclanthology.org/D19-1605",
}
```
**Redis Examples** - Hand-crafted examples by Redis - Apache 2.0
## Citation
If you use this dataset, please cite this Hugging Face entry and the source datasets above.
```bibtex
@misc{zhechev2025cqr,
title = "Conversational Query Rewriting Dataset",
author = "Zhechev, Iliya and Ralev, Rado and Rajamohan, Srijith and Redis",
year = "2025",
publisher = "Hugging Face",
url = "https://huggingface.co/datasets/redis/langcache-cqr-v1",
}
```
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